Sojourn time-based velocity estimation in small cell poisson networks

Arvind Merwaday, Ismail Güvenç, Walid Saad, Abolfazl Mehbodniya, Fumiyuki Adachi

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

Due to the increasing density of small cells, mobility management in heterogeneous networks has become a challenging task. One key challenge facing the development of advanced mobility management techniques is the accurate estimation of the users' velocity. One simple way to estimate a user's velocity is via the use of sojourn time samples. In this letter, the Cramer- Rao lower bound (CRLB) for the sojourn time-based velocity estimation is analyzed. Stochastic geometry is used for the spatial modeling of small cells, and the CRLB is derived using the tools from estimation theory. An asymptotically unbiased velocity estimator is also derived. Our analysis shows that the sojourn time-based velocity estimation exhibit a lower CRLB compared to the CRLB of classical velocity estimation using handover count.

Original languageEnglish
Article number2501822
Pages (from-to)340-343
Number of pages4
JournalIEEE Communications Letters
Volume20
Issue number2
DOIs
Publication statusPublished - 2016 Feb 1

Keywords

  • 5G
  • Cramer-Rao lower bound (CRLB)
  • Heterogeneous networks (HetNets)
  • Long term evolution (LTE)
  • Mobility state estimation
  • Phantom cell
  • Small cells
  • Sojourn time

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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